Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

Autor: Kiyohito Iigaya, Yashar Ahmadian, Leo P. Sugrue, Greg S. Corrado, Yonatan Loewenstein, William T. Newsome, Stefano Fusi
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-019-09388-3
Popis: Recent experience can only provide limited information to guide decisions in a volatile environment. Here, the authors report that the choices made by a monkey in a dynamic foraging task can be better explained by a model that combines learning on both fast and slow timescales.
Databáze: Directory of Open Access Journals